Master Generative AI with this state-of-the-art programme offered by Simplilearn. Delve into prompt engineering, large language models, attention mechanisms, RAG, and LLM fine-tuning. Gain expertise in essential tools and pave the way for the future of intelligent systems.
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Applied GenAI Specialisation Learning Path
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Course 1
Python basics
Course 2
Essentials of GenAI, Prompt Engineering & ChatGPT
Course 3
Diving Deeper into Generative AI
Course 4
Generative AI Governance
Learn essential skills
Applied generative AI learning path
Harness the power of generative AI for your business
Complete this comprehensive learning path in generative AI specialisation to learn how to make AI work effectively for you. Understand how to programme, test, and customise generative models, and evaluate their efficacy.
Learning objectives
- Install Python, set up its development environment, and use Jupyter Notebook for practical applications.
- Understand Python fundamentals, including identifiers, data types, operators, loops, and string functions.
- Explore procedural and object-oriented programming concepts using Python and understand its advantages.
- Learn the basics of generative AI, including ChatGPT, explainable AI, and its applications across industries.
- Apply prompt engineering techniques to optimise generative AI performance and explore fine-tuning methods.
- Develop expertise in generative models such as LLMs, VAEs, and GANs, understanding their architectures and applications.
- Gain knowledge of AI governance, including ethical considerations, risk mitigation, and regulatory trends.
- Learn to set up AI governance frameworks, addressing privacy, bias mitigation, and accountability.
- Understand benchmarking methods for evaluating generative AI model performance.
- Explore career opportunities in AI governance and the importance of integrating ethical principles into AI development projects.
What you'll learn
This learning path combines foundational Python programming with advanced generative AI concepts. From mastering ChatGPT and applied generative models to understanding AI governance and ethics, you’ll gain the technical and strategic skills needed to innovate, evaluate, and manage AI-driven projects effectively.
Building a foundation in Python programming
Start with Python basics, focusing on procedural and object-oriented programming. Learn to install Python and its development environment, use Jupyter Notebook for practical tasks, and understand core programming concepts like data types, loops, variable scope, and string functions.
Exploring generative AI and ChatGPT
Dive into the essentials of generative AI and ChatGPT, exploring their mechanisms, significance, and explainable AI principles. Develop skills in prompt engineering, fine-tuning, and applying generative AI tools to real-world use cases, gaining insights into their transformative impact across industries.
Advancing skills in applied generative AI
Master generative models like LLMs, VAEs, and GANs, and understand their architectures. Learn advanced prompt engineering and model customisation techniques while exploring benchmarking methods to evaluate the performance of generative AI models for specific applications.
Understanding generative AI governance
Develop a comprehensive understanding of governance in generative AI. This includes ethical considerations, privacy, risk mitigation, and regulatory trends. Learn to set up governance frameworks, mitigate project risks, and explore career opportunities in AI governance and compliance.
What's included
- 50-60 hours of instructor-led online classes
- Access to hands on projects
FAQs
Learn how to harness the revolutionary technology of generative AI to drive strategic growth and business success for your specific needs and purposes.
What is generative AI?
Generative AI uses advanced models like LLMs, GANs, and VAEs to create new content such as text, images, and audio. It mimics human creativity by learning patterns from data to generate innovative outputs.
What careers are available in generative AI?
Careers include AI researcher, prompt engineer, machine learning developer, data scientist, AI ethics consultant, and generative AI product manager. These roles focus on designing, training, deploying, and governing AI systems across industries.
How is this learning path delivered?
Our virtual courses provide the personal teaching experience of a classroom with the ease and flexibility of a virtual environment. All the benefits, without the travel!
What our customers say
"I am very satisfied with the course! It's definitely worth booking the training with the trainer. The trainer, having obviously lots of experience in the area, explained the material very well. Brilliant job! It was intense, but with good energy and I've learned a lot. Thank you!"
Oksana Sawicka, ILX learner
"Very professional and enjoyable training. Would highly recommend!"
Clayton Smithwick, ILX learner
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